Journal article
Negative expressions are shared more on Twitter for public figures than for ordinary users
- Abstract:
- Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with tweets' content. In the current study, we investigate if the content producer influences the extent to which their negative content is shared. More specifically, we focus on a group of users that are central to the diffusion of content on social media—public figures. We found that an increase in negativity was associated with a stronger increase in sharing for public figures compared to ordinary users. This effect was explained by two user characteristics, the number of followers and thus the strength of ties and the proportion of political tweets. The results shed light on whose negativity is most viral, allowing future research to develop interventions aimed at mitigating overexposure to negative content.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 668.8KB, Terms of use)
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- Publisher copy:
- 10.1093/pnasnexus/pgad219
Authors
- Publisher:
- Oxford University Press
- Journal:
- PNAS Nexus More from this journal
- Volume:
- 2
- Issue:
- 7
- Pages:
- pgad219
- Publication date:
- 2023-07-06
- Acceptance date:
- 2023-06-20
- DOI:
- EISSN:
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2752-6542
- Language:
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English
- Keywords:
- Pubs id:
-
1464927
- Local pid:
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pubs:1464927
- Deposit date:
-
2023-06-23
- ARK identifier:
Terms of use
- Copyright holder:
- Schöne et al
- Copyright date:
- 2023
- Rights statement:
- © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited
- Licence:
- CC Attribution (CC BY)
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